Greenmamba29/.agents/skills/github-issue-dedupe
.agents/skills/github-issue-dedupe/SKILL.md
| name | description | license | tags | |------|-------------|---------|------| | github-issue-dedupe | Detect and consolidate duplicate GitHub issues using semantic similarity matching. Identifies duplicate reports, posts linking comments, closes duplicates, and keeps a canonical issue updated with all relevant context. | MIT | --- github issues deduplication automation project-management | # GitHub Issue Dedupe ## Overview Automatically detect duplicate GitHub issues using semantic similari
tools
Updated Apr 17, 2026
$ install --global
skillsauthnpx skillsauth add Greenmamba29/skillsdotmd_web .agents/skills/github-issue-dedupeInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 24, 2026, 9:02 PM1.8s1 file scanned
SKILL.md
| name | description | license | tags | |------|-------------|---------|------| | github-issue-dedupe | Detect and consolidate duplicate GitHub issues using semantic similarity matching. Identifies duplicate reports, posts linking comments, closes duplicates, and keeps a canonical issue updated with all relevant context. | MIT | --- github issues deduplication automation project-management |
GitHub Issue Dedupe
Overview
Automatically detect duplicate GitHub issues using semantic similarity, link them together, close duplicates with a reference comment, and maintain a canonical issue with consolidated context.
When to Use
- When your issue tracker has grown large with many potential duplicates
- Before a sprint planning session to clean up the backlog
- After a major release when bug reports flood in
- When you want to prevent duplicate effort on the same problem
- When enforcing issue hygiene across a public open-source project
Instructions
- Fetch all open issues:
gh issue list --state open --limit 500 --json number,title,body,labels. - Build a similarity matrix:
- Tokenize titles and bodies, remove stop words.
- Compute cosine similarity between all issue pairs.
- Flag pairs exceeding DUPLICATE_THRESHOLD as potential duplicates.
- For each duplicate cluster:
- Identify the canonical issue (oldest or highest vote count).
- Review pairs above threshold to confirm semantic similarity.
- Post comment on duplicate: "Duplicate of #<canonical> - closing in favor of original."
- Close duplicate with label
duplicate. - Update canonical issue body with any unique details from duplicates.
- Handle false positives: skip pairs where titles differ by key identifiers (version numbers, OS, component).
- Return deduplication report: total issues scanned, duplicates found, clusters merged.
Environment
DUPLICATE_THRESHOLD=0.82
BATCH_SIZE=100
DRY_RUN=false
SKIP_LABELS=wontfix,known-issue
MERGE_COMMENTS=true
Examples
Input:
repository: org/my-app
state: open
limit: 200
Output:
Deduplication Report
Issues scanned: 187
Duplicate clusters found: 14
Issues closed: 23
Sample merges:
- #445, #467, #489 -> canonical: #445 ("Login button not working")
- #312, #398 -> canonical: #312 ("PDF export fails on Safari")
False positives skipped: 3
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